"""
Dash application for visualizing rStar-Math performance
"""
import dash
from dash import dcc, html
from dash.dependencies import Input, Output, State
import plotly.graph_objs as go
import plotly.express as px
from typing import List, Dict, Any

app = dash.Dash(__name__)

app.layout = html.Div([
    html.H1("rStar-Math Demonstrator Dashboard"),
    
    # Problem Input Section
    html.Div([
        html.H2("Problem Input"),
        dcc.Textarea(
            id='problem-input',
            placeholder='Enter your mathematical problem here...',
            style={'width': '100%', 'height': 100}
        ),
        dcc.Dropdown(
            id='model-selector',
            options=[
                {'label': 'OpenAI GPT-4', 'value': 'gpt4'},
                {'label': 'Anthropic Claude', 'value': 'claude'},
                {'label': 'Mistral', 'value': 'mistral'},
                {'label': 'Groq', 'value': 'groq'},
                {'label': 'Gemini', 'value': 'gemini'},
                {'label': 'Cohere', 'value': 'cohere'},
                {'label': 'Emergence', 'value': 'emergence'}
            ],
            multi=True,
            placeholder="Select models to compare"
        ),
        html.Button('Solve', id='solve-button', n_clicks=0)
    ]),
    
    # Results Section
    html.Div([
        html.H2("Results"),
        dcc.Graph(id='performance-comparison'),
        html.Div(id='solution-steps')
    ]),
    
    # Code Generation Section
    html.Div([
        html.H2("Integration Code Generator"),
        dcc.Dropdown(
            id='framework-selector',
            options=[
                {'label': 'Rasa', 'value': 'rasa'},
                {'label': 'Azure Bot Framework', 'value': 'azure'},
                {'label': 'LangChain', 'value': 'langchain'}
            ],
            placeholder="Select framework for integration"
        ),
        html.Button('Generate Code', id='generate-code-button', n_clicks=0),
        dcc.Markdown(id='generated-code')
    ])
])

@app.callback(
    [Output('performance-comparison', 'figure'),
     Output('solution-steps', 'children')],
    [Input('solve-button', 'n_clicks')],
    [State('problem-input', 'value'),
     State('model-selector', 'value')]
)
def update_results(n_clicks: int, 
                  problem: str, 
                  selected_models: List[str]) -> tuple:
    """Update dashboard with problem solution results."""
    if n_clicks == 0:
        return {}, []
    
    # Implementation details to be added
    pass

@app.callback(
    Output('generated-code', 'children'),
    [Input('generate-code-button', 'n_clicks')],
    [State('framework-selector', 'value')]
)
def generate_code(n_clicks: int, framework: str) -> str:
    """Generate integration code for selected framework."""
    if n_clicks == 0:
        return ""
    
    # Implementation details to be added
    pass

if __name__ == '__main__':
    app.run_server(debug=True)
